Daniel Lim
Impact in
- Cell Biology top 0.5%
- Microtubule and mitosis dynamics
- Calpain Protease Function and Regulation
- Molecular Medicine top 2%
- Antibiotic Resistance in Bacteria
Papers in
- Cell Biology 12
- Microtubule and mitosis dynamics 8
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- Antibiotic Resistance in Bacteria 6
- Co-authors
- Michael B. Yaffe (24 shared papers)Natalie C. J. Strynadka (11 shared papers)Kathleen A. Ottina (2 shared papers)David M. Sabatini (2 shared papers)Nathanael S. Gray (3 shared papers)Seong Anthony Woo Kang (2 shared papers)Drew M. Lowery (2 shared papers)Zongchao Jia (4 shared papers)
- Journals
- Nature Structural & Molecular Biology (4 papers)Science (4 papers)Journal of Molecular Biology (3 papers)Nature (2 papers)Science Signaling (2 papers)
- Partner nations
- United StatesCanadaSouth Korea
In The Last Decade
Daniel Lim
46 papers receiving 5.8k citations
Daniel Lim's Hit Papers
Peers
Comparison fields: 5 of 115
- Cell Biology 1.5k
- Molecular Medicine 272
- Molecular Biology 2.3k
- Aging 51
- Endocrinology 95
Countries citing papers authored by Daniel Lim
This map shows the geographic impact of Daniel Lim's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Daniel Lim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Lim more than expected).
Fields of papers citing papers by Daniel Lim
This network shows the impact of papers produced by Daniel Lim. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Daniel Lim. The network helps show where Daniel Lim may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Lim, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The mTOR-Regulated Phosphoproteome Reveals a Mechanism of mTORC1-Mediated Inhibition of Growth Factor Signaling Hit paper breakdown → | 2011 | 910 |
| 2 | 2008 | 579 | |
| 3 | 2003 | 426 | |
| 4 | 2002 | 373 | |
| 5 | 2013 | 368 | |
| 6 | 2005 | 353 | |
| 7 | 2002 | 271 | |
| 8 | 2007 | 258 | |
| 9 | 2005 | 252 | |
| 10 | 2007 | 211 | |
| 11 | 2004 | 185 | |
| 12 | 2009 | 165 | |
| 13 | 2000 | 149 | |
| 14 | 2011 | 146 | |
| 15 | 2001 | 125 | |
| 16 | 2002 | 120 | |
| 17 | 2019 | 107 | |
| 18 | 2011 | 103 | |
| 19 | Activation of the Yeast Hippo Pathway by Phosphorylation-Dependent Assembly of Signaling Complexes | 2013 | 89 |
| 20 | 2006 | 84 |
About Daniel Lim
Daniel Lim is a scholar working on Cell Biology, Molecular Medicine, Molecular Biology, Parasitology and Materials Chemistry, having authored 47 papers that have together received 6k indexed citations. Recurring topics across this work include Microtubule and mitosis dynamics (8 papers), Enzyme Structure and Function (7 papers), Antibiotic Resistance in Bacteria (6 papers), Chemical Synthesis and Analysis (5 papers), Toxoplasma gondii Research Studies (3 papers), Metalloenzymes and iron-sulfur proteins (2 papers), PI3K/AKT/mTOR signaling in cancer (2 papers) and Mitochondrial Function and Pathology (2 papers). The work is most often cited by research in Cell Biology (1.5k citations), Molecular Medicine (272 citations), Molecular Biology (2.3k citations), Aging (51 citations) and Endocrinology (95 citations). Daniel Lim has collaborated with scholars based in United States, Canada and South Korea. Frequent co-authors include Michael B. Yaffe, Natalie C. J. Strynadka, Kathleen A. Ottina, David M. Sabatini, Nathanael S. Gray, Seong Anthony Woo Kang, Drew M. Lowery, Zongchao Jia, Timothy R. Peterson and Yi Zhang. Their work appears in journals such as Nature Structural & Molecular Biology, Science, Journal of Molecular Biology, Nature and Science Signaling.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.